• S.Sathya
• Dr.E.Ramaraj

Web logs create and stored as record in a web server automatically. To get information about website use can analyze such web server logs. Weblog processing is a very challenging for various environments with lots of server. The information about user interest and behavior is stored in web log serve. In such an environment log data is large, coming at high speed in various formats. Along these to process such huge datasets we need an equal preparing(Hadoop). Hadoop runs the enormous information where a huge amount of data is prepared through group of ware equipment. In this paper we present the way for Anomaly detection by pre-processing the web log files, and to store the web logs using the architecture of Hadoop Framework. The objective of this paper is to analyze web log details for Anomaly Detection.

Anomaly,HADOOP,Analytics

"Anomaly Detection in web logs Using Big Data Analytics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 5, page no.848-852, May-2020, Available :http://www.jetir.org/papers/JETIR2005255.pdf

"Anomaly Detection in web logs Using Big Data Analytics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp848-852, May-2020, Available at : http://www.jetir.org/papers/JETIR2005255.pdf